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Power Platform
Power Platform: Prompt columns in Dataverse
A Prompt Column is a new AI-powered data type in Microsoft Dataverse (currently in preview) that allows you to define natural language prompts tied to other columns
Power Platform
Power Platform: Prompt columns in Dataverse
A Prompt Column is a new AI-powered data type in Microsoft Dataverse (currently in preview) that allows you to define natural language prompts tied to other columns
Copilot Studio
Copilot Studio: Extend your Agent with Model Context Protocol (MCP)
What is MCP? Model Context Protocol (MCP) represents a new standard for building secure and scalable AI extensions. In this
Copilot Studio
Copilot Studio: Extend your Agent with Model Context Protocol (MCP)
What is MCP? Model Context Protocol (MCP) represents a new standard for building secure and scalable AI extensions. In this
Copilot Studio
Copilot Studio: Create your first Autonomous Agent
Autonomous agents are advanced AI systems designed to operate independently, managing and automating complex business tasks to enhance efficiency and innovation
Copilot Studio
Copilot Studio: Create your first Autonomous Agent
Autonomous agents are advanced AI systems designed to operate independently, managing and automating complex business tasks to enhance efficiency and innovation
Copilot Studio
Copilot Studio: Configure an agent for Teams and Microsoft 365
How to Extend Microsoft 365 Copilot with agents? Microsoft 365 Copilot is an AI-powered productivity tool that keeps users in
Copilot Studio
Copilot Studio [Sample Use Case]: Use files from Azure Blob as Knowledge to Copilot Agents using Azure AI Search
Azure AI Search enables intelligent, AI-powered search capabilities inside Copilot Studio, allowing bots to retrieve relevant information from structured and
Copilot Studio
Copilot Studio [Sample Use Case]: Use files from Azure Blob as Knowledge to Copilot Agents using Azure AI Search
Azure AI Search enables intelligent, AI-powered search capabilities inside Copilot Studio, allowing bots to retrieve relevant information from structured and